Last updated
UnitV2 is a high-efficiency AI recognition module launched by M5Stack, using Sigmstar SSD202D (integrated dual-core Cortex-A7 1.2GHz processor) control core, integrated 128MB-DDR3 memory, 512MB NAND Flash, and 1080P camera. With embedded Linux operating system and rich software and hardware resources and development tools integrated, UnitV2 is committed to bringing users a simple and efficient AI development experience out of the box.
Note: Best to use the original M5 data cable to connect to the computer, otherwise it may cause a crash, and the loose data cable may also cause a crash. Edge and Chrome browsers are recommended, Firefox has a certain chance of causing it to cause a crash or the screen is not smooth.
Sigmstar SSD202D
Dual Cortex-A7 1.2GHz Processor
128MB DDR3
512MB NAND Flash
GC2145 1080P Colored Sensor
Microphone
Wi-Fi 2.4GHz
AI recognition function development
Industrial visual identification sorting
Machine vision learning
Lens equipment
Normal focal length (FOV 68°)
Normal focal length (FOV 85°) + wide-angle focal length (FOV: 150°)
Without lens, USB-A universal interface, can be connected to various UVC cameras
CMOS
GC2145
GC2053
/
Sigmstar SSD202D
Dual Cortex-A7 1.2GHz Processor
Flash
512MB NAND
RAM
128MB-DDR3
Camera
GC2145 1080P Colored Sensor
Lens
FOV 68° , DOF= 60cm- ∞
Power Input
5V @ 500mA
Peripherals
TypeC x1, UART x1, TFCard x1, Button x1, Microphone x1, Fan x1
Indicator light
Red, White
Wi-Fi
150Mbps 2.4GHz 802.11 b/g/n
Operating Temperature
0°C to 60°C
Net weight
18g
Product Size
48*18.5*24mm
Package Size
157*38*38mm
Case Material
Plastic ( PC )
